Let's imagine I want to assess whether the explanatory power of daily calories, minutes of exercise, and hours of sleep has different explanatory power over BMI for men compared to women. Is there a good way to evaluate this beyond just doing regressions for each sample and comparing R2?
I could run two models and compare their R-squared values, but I'm wondering if there is a better way.
Related Posts with Is there a good way to test whether explanatory power among variables varies across populations?
How to remove all characters that are not part of a predefined list?How can I remove from a STRING VARIABLE all characters that are not part of a predefined list? For e…
How to calculate index value for eq5d pleaseQuestion …
Trouble with interpolating data: code is interpolating non-missing dataHi everyone, I am trying to interpolate panel data using this code: Code: ipolate v2pesecsch year,…
Extracting macro in a loopDear Statalist Users, A much simplified version of my current dataset is as follows: Code: * Exa…
Individual fixed effects vs. school fixed effectsHi all, I am deciding between a school and year fixed effects model and an individual fixed effects…
Subscribe to:
Post Comments (Atom)
0 Response to Is there a good way to test whether explanatory power among variables varies across populations?
Post a Comment